Fit the Mixture of Experts Latent Position Cluster Model to Network Data

Documentation for package ‘MEclustnet’ version 1.2.2

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MEclustnet-package	MEclustnet: A package for model-based clustering of nodes in a network, accounting for covariates.
calclambda	Title Compute mixing proportions
calcloglikelihood	Calculate the log likelihood function of the data.
calcm	Totals the number of observations in each cluster.
calcpis	Calculate link probabilities.
formatting.covars	Reformat matrix of covariates.
invariant	Account for invariance of configurations.
labelswitch	Label switching correction.
lawyers.adjacency.advice	Adjacency matrix detailing the presence or absence of advice links between the 'Lazega Lawyers'.
lawyers.adjacency.coworkers	Adjacency matrix detailing the presence or absence of coworker links between the 'Lazega Lawyers'.
lawyers.adjacency.friends	Adjacency matrix detailing the presence or absence of friendship links between the 'Lazega Lawyers'.
lawyers.covariates	A matrix of covariates of the 'Lazega Lawyers'.
MEclustnet	MEclustnet: A package for model-based clustering of nodes in a network, accounting for covariates.
plotMEclustnet	Plot latent position network.
summaryMEclustnet	Summary of MEclustnet object.
updatebeta	Update the logistic regression parameters in the link probabilities model.
updateK	Update the cluster membership vector.
updatemu	Update the mean of each cluster.
updatesigma2	Update variances in each cluster.
updatetau	Update the logistic regression parameters in the mixing proportions model.
updatez	Update step for the latent locations.
us.twitter.adjacency	Directed adjacency matrix detailing the presence or absence of Twitter friend/follower links between US politicians.
us.twitter.covariates	A matrix of covariates of the US politicians.